RIKEN Brain Science Institute Wako-shi, Japan.
Front Comput Neurosci. 2010 Sep 22;4:127. doi: 10.3389/fncom.2010.00127. eCollection 2010.
Detecting the excess of spike synchrony and testing its significance can not be done analytically for many types of spike trains and relies on adequate surrogate methods. The main challenge for these methods is to conserve certain features of the spike trains, the two most important being the firing rate and the inter-spike interval statistics. In this study we make use of operational time to introduce generalizations to spike dithering and propose two novel surrogate methods which conserve both features with high accuracy. Compared to earlier approaches, the methods show an improved robustness in detecting excess synchrony between spike trains.
对于许多类型的尖峰序列,无法进行解析检测尖峰同步的过剩并检验其显著性,这依赖于充分的替代方法。这些方法的主要挑战是保持尖峰序列的某些特征,两个最重要的特征是发放率和尖峰间隔统计。在这项研究中,我们利用操作时间对尖峰抖动进行推广,并提出了两种新的替代方法,能够高度准确地保持这两个特征。与早期的方法相比,这些方法在检测尖峰序列之间的过剩同步方面表现出了更好的鲁棒性。